Graph Neural Network‐Based Reinforcement Learning for Decentralized Multi‐Robot Manipulation
A graph neural network (GNN)‐based framework for scalable multiagent reinforcement learning (RL), where each manipulator is represented as a node in a GNN, and message‐passing edges provide a communication mechanism that enables agents to share information effectively.
Tong Chen, Bo Fu, Dawn M. Tilbury et al.
· Advanced Intelligent Systems · 0 citations